A Study of E-Commerce Product Consumption Analysis and Visualization

Abstract

In the current paper researcher says that this review presents a comprehensive overview of many methodologies used in recent years to visualize, predict customer behavior and segment using data analysis and machine learning. It introduce new trends such as pictorial storytelling with data, AI driven personalization, real-time behavioral analysis and deep learning prediction models as fundamental influencers for the next generation of e-commerce platforms. The paper also suggest future research directions like hybrid model development (combine two or more methods), protecting user privacy, and adaptive visualization systems that can help businesses make better decisions and customer engagement in online retail ecosystems.